Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = + 0.0298690286867837 + 0.000580407821848932UseLimit[t] -0.148729141139891T20[t] + 0.234595538741405Used[t] -0.0103240313718055Useful[t] -0.0186832842002494Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.02986902868678370.0368580.81040.420820.21041
UseLimit0.0005804078218489320.0501240.01160.9907980.495399
T20-0.1487291411398910.058375-2.54780.0133330.006666
Used0.2345955387414050.0621133.77690.0003580.000179
Useful-0.01032403137180550.065177-0.15840.8746570.437328
Outcome-0.01868328420024940.050816-0.36770.7143760.357188


Multiple Linear Regression - Regression Statistics
Multiple R0.469900206318933
R-squared0.220806203898575
Adjusted R-squared0.157967994535557
F-TEST (value)3.5138844046776
F-TEST (DF numerator)5
F-TEST (DF denominator)62
p-value0.00734121515282071
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.189840884037973
Sum Squared Residuals2.23445279764379


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.0117661523083833-0.0117661523083833
200.0976325499098969-0.0976325499098969
300.0298690286867838-0.0298690286867838
400.0111857444865342-0.0111857444865342
500.0195449973149782-0.0195449973149782
60-0.1182797046312590.118279704631259
700.0201254051368271-0.0201254051368271
800.0298690286867837-0.0298690286867837
90-0.1188601124531070.118860112453107
1000.0111857444865343-0.0111857444865343
110-0.1182797046312590.118279704631259
1200.0298690286867837-0.0298690286867837
1300.0304494365086326-0.0304494365086326
1400.0111857444865343-0.0111857444865343
1500.0117661523083832-0.0117661523083832
1600.0298690286867837-0.0298690286867837
1700.0298690286867837-0.0298690286867837
1800.0298690286867837-0.0298690286867837
1900.115735426288297-0.115735426288297
2000.0298690286867837-0.0298690286867837
2100.0298690286867837-0.0298690286867837
2200.116315834110146-0.116315834110146
2300.0298690286867837-0.0298690286867837
2400.0304494365086326-0.0304494365086326
2500.105991802738341-0.105991802738341
260-0.1188601124531070.118860112453107
2700.264464567428189-0.264464567428189
2800.116315834110146-0.116315834110146
2900.0304494365086326-0.0304494365086326
3000.0298690286867837-0.0298690286867837
3100.0117661523083832-0.0117661523083832
3200.0304494365086326-0.0304494365086326
3300.0298690286867837-0.0298690286867837
3400.0111857444865343-0.0111857444865343
3500.0304494365086326-0.0304494365086326
3600.0298690286867837-0.0298690286867837
3700.116315834110146-0.116315834110146
3800.235457251856134-0.235457251856134
3900.0111857444865343-0.0111857444865343
400-0.1188601124531070.118860112453107
4100.0195449973149782-0.0195449973149782
4200.0111857444865343-0.0111857444865343
4300.0298690286867837-0.0298690286867837
4400.0111857444865343-0.0111857444865343
4500.0304494365086326-0.0304494365086326
4600.0117661523083832-0.0117661523083832
4700.265044975250038-0.265044975250038
4800.0298690286867837-0.0298690286867837
4900.0298690286867837-0.0298690286867837
5000.0298690286867837-0.0298690286867837
5100.236037659677983-0.236037659677983
5200.0873085185380914-0.0873085185380914
530-0.1188601124531070.118860112453107
5400.0298690286867837-0.0298690286867837
5510.2457812832279390.754218716772061
5600.097052142088048-0.097052142088048
5700.0304494365086326-0.0304494365086326
5800.000861713114728814-0.000861713114728814
5900.0195449973149782-0.0195449973149782
600-0.1375433966533570.137543396653357
6100.115735426288297-0.115735426288297
620-0.1188601124531070.118860112453107
6300.0304494365086326-0.0304494365086326
6400.000861713114728814-0.000861713114728814
6500.0111857444865343-0.0111857444865343
6610.2650449752500380.734955024749962
6710.2547209438782320.745279056121768
6800.265044975250038-0.265044975250038


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
9001
10001
11001
12001
13001
14001
15001
16001
17001
18001
19001
20001
21001
22001
23001
24001
25001
26001
27001
28001
29001
30001
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
551.45211643141408e-052.90423286282816e-050.999985478835686
561.51989301605345e-053.0397860321069e-050.999984801069839
576.40835870671037e-061.28167174134207e-050.999993591641293
582.39851400635358e-064.79702801270715e-060.999997601485994
595.81398359539641e-071.16279671907928e-060.99999941860164


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level511NOK
5% type I error level511NOK
10% type I error level511NOK